Supermetrics for Google Cloud Storage
Connect Shopify to Google Cloud Storage — GCP Data Lake Foundation
Export your Shopify store data to Google Cloud Storage as structured files. Archive orders, product performance, and revenue data for custom analytics.
Why Connect Shopify to Google Cloud Storage?
Store your raw Shopify data in Google Cloud Storage for custom pipelines and full data ownership.
- Archive every order, product metric, and revenue data point in GCS for permanent retention and analysis.
- Join Shopify revenue with ad spend from Google, Facebook, and TikTok in one GCS data lake.
- Build custom product performance dashboards by querying Shopify data in GCS with BigQuery.
How to Connect Shopify to Google Cloud Storage
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select Shopify as your source and Google Cloud Storage as your destination.
- 2
Configure your GCS bucket
Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, and select the file format and fields you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your Shopify data begins flowing to GCS as structured files, ready for BigQuery, Dataflow, or any GCP service.
Shopify Data Format in Google Cloud Storage
Supermetrics delivers your Shopify data in clean, structured files ready for downstream processing.
Comma-separated values — universally compatible and easy to inspect.
Structured key-value format — ideal for nested product and order data.
What to Build with Shopify Data in Google Cloud Storage
Once your Shopify data lands in Google Cloud Storage, here's what becomes possible.
Product profitability analysis
Join Shopify revenue with ad spend in GCS to calculate true product-level profitability.
Dataflow catalog for BigQuery
Use GCP Dataflow to crawl Shopify data in GCS and load into BigQuery for warehouse analytics.
What Shopify Data Can You Pull into Google Cloud Storage?
Supermetrics gives Google Cloud Storage access to your full Shopify reporting data — metrics and dimensions you already know from the Shopify interface.
Key Metrics
- Orders
- Net sales
- Gross sales
- Average order value
- Units sold
- Gross profit
- Discount amount
- Shipping charges
- Tax amount
- Returns
- Total sales
Key Dimensions
- Product title
- Product type
- Product vendor
- Product tags
- SKU
- Variant title
- Order status
- Fulfillment status
- Channel
- UTM source
- Customer location
- Referring site
Resources & Guides
7 Supermetrics use cases for ecommerce
Why Supermetrics for Google Cloud Storage?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Google Cloud Storage — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Full Data Ownership
Your Shopify data lands in storage you control. No vendor lock-in, no proprietary formats — standard files you can process with any tool.
Enterprise-Grade Security
SOC 2 Type II certified. GDPR and CCPA compliant. OAuth authentication with encrypted credentials. Regional data hosting available. Your data is protected end-to-end.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Shopify data as you need without worrying about cost spikes.
Every Order, Every Product
Pull your complete Shopify catalog — every order, product, variant, and customer segment. No row limits, no sampling, no date restrictions.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Shopify as the source and Google Cloud Storage as the destination. Authenticate with your Google Cloud account, choose your GCS bucket and folder prefix, select your file format and fields, set a schedule, and start the transfer. Supermetrics writes structured files to your bucket automatically — no Cloud Functions or Dataflow pipelines required. For the fastest path to SQL analytics, choose Parquet format and create a BigQuery external table pointing at your GCS prefix: you get instant, zero-copy queries over your marketing data without any loading step.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All data transfers use TLS encryption in transit. In GCS, your data is encrypted at rest by default with Google-managed keys, but you can also use customer-managed encryption keys (CMEK) stored in Cloud KMS or customer-supplied encryption keys (CSEK) that Google never retains. IAM policies and bucket-level permissions control who can read or write, and VPC Service Controls can create a security perimeter that prevents data exfiltration. GCS also supports retention policies and bucket lock for regulatory compliance. Supermetrics does not retain your data after delivery.
- Absolutely. GCS is the central storage layer for the entire Google Cloud analytics stack. Transfer Shopify alongside GA4 exports, Google Ads, CRM data, and any other source into the same bucket. Create BigQuery external tables for ad-hoc cross-source queries without loading data, or use Dataflow (Apache Beam) and Dataproc (Spark/Hadoop) for heavy transformations. You can also wire Cloud Functions or Cloud Run to trigger automatically via Eventarc whenever Supermetrics delivers a new file — enabling real-time enrichment, validation, or alerts. Supermetrics supports 170+ sources, all deliverable to the same GCS bucket.
- All standard Shopify reporting metrics and dimensions are available, including Orders, Net sales, Gross sales, Average order value, Units sold, Gross profit, and more. You select exactly which fields to include during setup. Data arrives as clean, structured files in CSV, JSON, or Parquet. Parquet is the recommended choice for GCS-based analytics: BigQuery external tables, Dataflow, and Dataproc all leverage its columnar layout for predicate pushdown and column pruning, which means faster queries and lower processing costs — especially valuable when scanning months of campaign history.
- Transfers can run hourly, daily, weekly, or monthly. Daily is the most common choice — yesterday's Shopify data is ready in your bucket each morning. Incremental delivery means only new and updated records are written, keeping file sizes manageable and storage costs near zero. To minimize costs further, enable GCS Autoclass on your bucket: it automatically moves each object between Standard, Nearline, Coldline, and Archive tiers based on access frequency, so recent campaign data stays fast to query while historical data shifts to cheaper storage without any manual lifecycle rules.
- Yes. Supermetrics pulls order data including products, revenue, discounts, and fulfillment status — all delivered as clean files.
- Absolutely. Land Shopify alongside Google Ads, Facebook Ads, and other sources in the same bucket for unified e-commerce analytics.
Also Connect to Google Cloud Storage
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